CrowdCount

CrowdCount是一种基于多尺度卷积神经网络(MSCNN)的高精度人群计数模型。相比传统多列 / 多网络方法,它通过单列网络中的多尺度特征块(MSB)与尺度自适应密度图回归技术,能有效应对透视畸变导致的人物尺度差异问题,兼顾计数精度与模型轻量化,适用于监控图像、公共场所等密集人群计数场景。

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-crowdcount
  • Portal model id: i9i4tr9hec00
  • Created at: 2025-12-25 15:03:50
  • Updated at: 2025-12-30 21:27:21
  • Category: 计算机视觉

Framework

  • PyTorch

Supported OS

  • OpenHarmony
  • Linux

Computing Power

  • Hi3403V100 SVP_NNN
  • Hi3403V100 NNN

Tags

  • 人群计数

Detail Parameters

  • 输入: 224x224
  • 参数量: 34.738M
  • 计算量: 587.807GFLOPs

Files In This Repo

  • mscnn_model.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
  • SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)

Upstream Links

Notes

  • This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
  • File ownership follows the portal card mapping, not just filename similarity.
  • Cover image: 1719967754027009_combined_plot.jpg
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